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1248 articles for “IDS”
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Genre Classification of Music Using Machine Learning
Abstract: One of the most important technological advances of the 21st century is artificial intelligence (AI) and machine learning. They are revolutionizing computers, banking, healthcare, agriculture, music and travel. A strong model has mastered many difficult learning tasks. Speech analysis is one area of artificial intelligence. This includes finding information about music, creating music, and categorizing music. Music data is one of the most complex source data available today. This is …
Published in International Journal of Distributed Computing and Technology · Vol. 8, Issue 2, 2022 · pp. 17–28 Read article
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Students' and Faculty Members' Attitudes Toward Science at Urban and Rural Colleges and Universities
Abstract: Identifying and cultivating a favourable attitude toward science among student instructors is critical. Instructors, student teachers, and students at all levels of education should be encouraged to have a positive attitude toward science. Currently, this is an urgent need. This study examines the attitudes of student instructors toward science in relation to their college's location. Students in Hyderabad's Revenue district are included in the study's sample of 1080. Data was …
Published in International Journal of Distributed Computing and Technology · Vol. 8, Issue 2, 2022 · pp. 38–42 Read article
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System for Predicting and Recommending Placement on Campus
Abstract: The campus placement system uses classification algorithms like decision trees, random forests, support vector classifiers, and logistic regression to estimate the likelihood that an undergraduate student will be hired by a business. The placement prediction method assists in identifying students’ needs and the areas in which they fall short, allowing students to strengthen their profiles and increase their chances of being placed. The placement predictor uses a number of parameters …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 1, 2023 · pp. 18–25 Read article
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A Comprehensive Study of Application of Evolutionary Computing in Multi-stakeholder Recommendation Systems
Abstract: Recommender systems are customized data get to applications; they are universal in the present online condition, and compelling at finding things that address client issues and tastes. As the range of recommender systems has broadened, it has become clear that the resolute spotlight on the client regular to scholastic research has clouded other significant parts of suggestion results. Properties, for example, reasonableness, equalization, profitability, and correspondence are most certainly not …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 1, 2023 · pp. 1–5 Read article
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Intelligent Travel Card Leveraging Blockchain Technology: A Precautionary Measure Against Contagious Illnesses Such as COVID-19
Abstract: A smart card is a small, plastic card with embedded integrated circuit chips that can store and process data. These cards are used for various applications, including identification, authentication, and transactions. Smart cards resemble typical cards in appearance, being rectangular, compact, and lightweight. The difference between them lies in their intelligence. These cards incorporate a microprocessor housing a memory chip, enabling them to store significant amounts of data and facilitating …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 2, 2023 · pp. 43–48 Read article
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An Efficient Unconstrained Face Recognition System Based on Multi Metric Learning
Abstract: This paper is basically proposed for reconstruction-based metric learning method to learn distance metric for unconstrained face verification. As compare to other metric (only helps for label information and do not applicable for reconstruction based metric) this metric id advanced. This metric is used for multiple metric learning to remove irrelavent data for recognition.
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 2, 2015 · pp. 14–18 Read article
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Analysis of Virtual or Remote Laboratories of IITs
Abstract: This paper is about virtual labs challenge of Ministry of Human resource development, authorities of India. The idea of virtual laboratory is to provide a danger to perform experiments the usage of the internet and visual aids without having the equipments at their quit. The digital lab software gives a completely unique opportunity to enhance the first-rate of engineering schooling, deepen information, and provide the necessary practical competencies to young …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 2, 2015 · pp. 19–25 Read article
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Feature Extraction: Comparing Feature Extractors
Abstract: Machine learning is getting fuzz nowadays a lot. In order to train the computer to recognize the set of images is the key factor. For this neural networks and classifiers are used to do the identification and recognition. Now do the matching feature points or the interest points are required which makes it to our area of research i.e. feature extractors. In our paper we compared various feature extractors Fast, …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 4, Issue 1, 2018 · pp. 12–17 Read article
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An New Approach For Image Steganography Using LSB and BPSO Optimization
Abstract: Abstract Presently, the technologies are evolving with high speed and everyday new innovations are done. As large amount of information shared between different users over the internet therefore the sharing of information is increasing day by day. In the conventional techniques of image steganography the idea of DCT and LSB approaches are used. But this technique is not optimum for securing the information. Thus, the BPSO optimization technique is proposed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 4, Issue 2, 2018 · pp. 27–36 Read article
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An Assistant Reading System for Visually Impaired People
Abstract: In the real world, books and documents are the sources of knowledge. This knowledge is only bounded to people with clear vision but not for visually impaired people in our society. As a God’s gift we gain many advantages with our vision. Our society includes a group of people who does not have a clear vision or people who are visually impaired. For this group, world is like a black …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 2, 2019 · pp. 1–6 Read article
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Review Paper on Image Enhancement Using Various Methods
Abstract: Image enhancement methods were used to modify the images that were accepted as visual perception. Image enhancement methods mainly used for image contrast. Histogram compensation, used in the form of the cumulative distribution function (CDF), is one of the challenging factors in image processing. The goal of the enhancement is to improve the structural look of an image without impairing the input image. The enhancement techniques make it easier to …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 1, 2020 · pp. 27–35 Read article
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Land use changes in the suburbs of Urmia in northwestern Iran using Landsat image processing
Abstract: ABSTRACTInvestigating land use/land cover changes in the suburbs is one of the interesting topics Attention is especially for city managers. Satellite image processing it is the most important source of information in this regard. In this study, Landsat 7 and 8 satellite images were used. Initially, preliminary projections including geometric and radiometric corrections were performed. After selecting the ground control points then using the max method Similar image classification was …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 2, 2020 · pp. 51–56 Read article
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Smart Video Surveillance System in Banks
Abstract: This review paper represents an aristocratic approach for acute video surveillance system and human activities automatic recognition from video sequences and has an embellish presence in every sphere of life. This paper is reviewed about video monitoring systems with its uses and kinds of video superintendence techniques. But we have mainly concentrated on acute video surveillance technique based on summarization because it provides behavioral analysis capabilities based on any videos. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 2, 2021 · pp. 1–4 Read article
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Review on Sign Language Detection Using Action Detection
Abstract: The development of sign language as a means of communication for those with hearing loss has been a significant step. Sign language is always needed for communication as not everyone understands how to translate signs. Without an interpreter, it is challenging to communicate. The hand shape, motion profile, and positioning of the hand, face, and other body components vary amongst signs in a particular sign language. Therefore, visual sign language …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 1, 2022 · pp. 20–26 Read article
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Image Processing Invisibility Cloak: A Review
Abstract: We have seen invisible people in stories, but in the world, it is still not proven that invisibility exists. This review explains the invisibility of anything with the help of various technologies. On many commonplace commercial objects, you can find difficult patterns and backdrops. Such textual data may be presented in a variety of scales, fonts, colours, and orientations. The very basic operations are performed to process the frames, which …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 51–57 Read article
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Crop Disease Classification and Detection Using Deep Learning Approach
Abstract: Early diagnosis of plant diseases is essential because they have an effect on the evolution of their unique species. For the identification and classification of plant diseases, a variety of Machine Learning (ML) models have been employed, but with the advent of Deep Learning (DL), a subset of ML, this area of research now seems to offer substantial potential for increased accuracy. The 4th most common staple food consumed worldwide …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 22–27 Read article
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Fake News Detection Based on 3-HAN Architecture Using Deep Learning Techniques
Abstract: Fake news spreading is a common scenario we see nowadays in this modern era of social media and smart phones. According to the New York Times, fake news is described as “a made-up story with the intention of misleading, frequently with financial gain as the motive.” The problem is complex, given its varied interpretations across the globe. Hence, an effective system is needed to detect whether the given news is …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 2, 2023 · pp. 21–31 Read article
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An In-depth Exploration: Unveiling the Computational Resources Utilized in Cancer Research
Abstract: It is a major challenge leading to mass morbidity and mortality in cancer, despite the efforts and clinical trials in the past. Cancer is a very crucial field of research that directly concerns human life that requires early identification, diagnosis, prognosis, and therapeutics. The resources and web servers play very important roles in cancer genomics and medical image analysis. Computational intelligence (is a set of computational methodologies involving design, application, …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 2, 2023 · pp. 10–20 Read article
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Short Communication on Fingerprint Image Enhancement and its Future Scope
Abstract: The fingerprint images are rarely of perfect quality, due to the reasons like variations in impression condition, skin condition, scanning devices or may be due to non-co-operative attitude of the subject. This degraded quality of image can result in a significant number of spurious minutiae being created and genuine minutiae being ignored. A vital step in studying the statistics of fingerprint minutiae is to reliably extract the minutiae feature from …
Published in International Journal of Software Computing and Testing · Vol. 2, Issue 1, 2016 · pp. 7–8 Read article
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WINDOWS 10
Abstract: Windows 10 was a big change for Microsoft’s traditional operating system. Windows 10 introduces what Microsoft described as a "universal" application architecture. Windows 10 is configured to send various information to Microsoft and other parties, including the collection of user contacts, calendar data, and "associated input data" to personalize "speech, typing, and inking input", typing and inking data to improve recognition, allowing apps to use a unique "advertising ID" for …
Published in International Journal of Software Computing and Testing · Vol. 2, Issue 1, 2016 · pp. 13–17 Read article